IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i3p568-d312820.html
   My bibliography  Save this article

Lifetime Expectancy of Li-Ion Batteries used for Residential Solar Storage

Author

Listed:
  • Hector Beltran

    (Department of Industrial Systems Engineering and Design, Jaume I University, Sos Baynat Avenue, Castelló de la Plana, 12071 Castelló, Spain)

  • Pablo Ayuso

    (Department of Industrial Systems Engineering and Design, Jaume I University, Sos Baynat Avenue, Castelló de la Plana, 12071 Castelló, Spain)

  • Emilio Pérez

    (Department of Industrial Systems Engineering and Design, Jaume I University, Sos Baynat Avenue, Castelló de la Plana, 12071 Castelló, Spain)

Abstract

This paper analyses the degradation that is experienced by different types of Li-ion batteries when used as home solar storage systems controlled to minimize the electricity bill of the corresponding household. Simulating the annual operation of photovoltaic (PV) residential systems with batteries at different locations was undertaken to perform the study and it uses actual consumption values and real PV production profiles, as well as validated semi-empirical ageing models of the batteries. Therefore, the work provides a realistic prognosis around the lifetime expectancies for the different Li-ion chemistries.

Suggested Citation

  • Hector Beltran & Pablo Ayuso & Emilio Pérez, 2020. "Lifetime Expectancy of Li-Ion Batteries used for Residential Solar Storage," Energies, MDPI, vol. 13(3), pages 1-18, January.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:3:p:568-:d:312820
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/3/568/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/3/568/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Frida Berglund & Salman Zaferanlouei & Magnus Korpås & Kjetil Uhlen, 2019. "Optimal Operation of Battery Storage for a Subscribed Capacity-Based Power Tariff Prosumer—A Norwegian Case Study," Energies, MDPI, vol. 12(23), pages 1-24, November.
    2. Zhang, Chao & Wei, Yi-Li & Cao, Peng-Fei & Lin, Meng-Chang, 2018. "Energy storage system: Current studies on batteries and power condition system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3091-3106.
    3. Holger C. Hesse & Rodrigo Martins & Petr Musilek & Maik Naumann & Cong Nam Truong & Andreas Jossen, 2017. "Economic Optimization of Component Sizing for Residential Battery Storage Systems," Energies, MDPI, vol. 10(7), pages 1-19, June.
    4. Vieira, Filomeno M. & Moura, Pedro S. & de Almeida, Aníbal T., 2017. "Energy storage system for self-consumption of photovoltaic energy in residential zero energy buildings," Renewable Energy, Elsevier, vol. 103(C), pages 308-320.
    5. Holger C. Hesse & Michael Schimpe & Daniel Kucevic & Andreas Jossen, 2017. "Lithium-Ion Battery Storage for the Grid—A Review of Stationary Battery Storage System Design Tailored for Applications in Modern Power Grids," Energies, MDPI, vol. 10(12), pages 1-42, December.
    6. Berecibar, M. & Gandiaga, I. & Villarreal, I. & Omar, N. & Van Mierlo, J. & Van den Bossche, P., 2016. "Critical review of state of health estimation methods of Li-ion batteries for real applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 572-587.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nina Munzke & Felix Büchle & Anna Smith & Marc Hiller, 2021. "Influence of Efficiency, Aging and Charging Strategy on the Economic Viability and Dimensioning of Photovoltaic Home Storage Systems," Energies, MDPI, vol. 14(22), pages 1-46, November.
    2. Brodnicke, Linda & Gabrielli, Paolo & Sansavini, Giovanni, 2023. "Impact of policies on residential multi-energy systems for consumers and prosumers," Applied Energy, Elsevier, vol. 344(C).
    3. Al-Wreikat, Yazan & Attfield, Emily Kate & Sodré, José Ricardo, 2022. "Model for payback time of using retired electric vehicle batteries in residential energy storage systems," Energy, Elsevier, vol. 259(C).
    4. Renos Rotas & Petros Iliadis & Nikos Nikolopoulos & Ananias Tomboulides & Elias Kosmatopoulos, 2022. "Dynamic Simulation and Performance Enhancement Analysis of a Renewable Driven Trigeneration System," Energies, MDPI, vol. 15(10), pages 1-27, May.
    5. Andrea Mannelli & Francesco Papi & George Pechlivanoglou & Giovanni Ferrara & Alessandro Bianchini, 2021. "Discrete Wavelet Transform for the Real-Time Smoothing of Wind Turbine Power Using Li-Ion Batteries," Energies, MDPI, vol. 14(8), pages 1-32, April.
    6. George Kyriakarakos & Erika Ntavou & Dimitris Manolakos, 2020. "Investigation of the Use of Low Temperature Geothermal Organic Rankine Cycle Engine in an Autonomous Polygeneration Microgrid," Sustainability, MDPI, vol. 12(24), pages 1-20, December.
    7. Perčić, Maja & Frković, Lovro & Pukšec, Tomislav & Ćosić, Boris & Li, Oi Lun & Vladimir, Nikola, 2022. "Life-cycle assessment and life-cycle cost assessment of power batteries for all-electric vessels for short-sea navigation," Energy, Elsevier, vol. 251(C).
    8. Pinciroli, Luca & Baraldi, Piero & Compare, Michele & Zio, Enrico, 2023. "Optimal operation and maintenance of energy storage systems in grid-connected microgrids by deep reinforcement learning," Applied Energy, Elsevier, vol. 352(C).
    9. Secchi, Mattia & Barchi, Grazia & Macii, David & Moser, David & Petri, Dario, 2021. "Multi-objective battery sizing optimisation for renewable energy communities with distribution-level constraints: A prosumer-driven perspective," Applied Energy, Elsevier, vol. 297(C).
    10. Superchi, Francesco & Papi, Francesco & Mannelli, Andrea & Balduzzi, Francesco & Ferro, Francesco Maria & Bianchini, Alessandro, 2023. "Development of a reliable simulation framework for techno-economic analyses on green hydrogen production from wind farms using alkaline electrolyzers," Renewable Energy, Elsevier, vol. 207(C), pages 731-742.
    11. Juha Koskela & Antti Mutanen & Pertti Järventausta, 2020. "Using Load Forecasting to Control Domestic Battery Energy Storage Systems," Energies, MDPI, vol. 13(15), pages 1-20, August.
    12. Jain, Sourabh, 2022. "Exploring structures of power purchase agreements towards supplying 24x7 variable renewable electricity," Energy, Elsevier, vol. 244(PA).
    13. Francisco Portillo & Rosa María García & Alfredo Alcayde & José Antonio Gázquez & Manuel Fernández-Ros & Nuria Novas, 2021. "Prospective Environmental and Economic Assessment of a Sensor Network," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    14. Prahaladh Paniyil & Vishwas Powar & Rajendra Singh & Benjamin Hennigan & Pamela Lule & Matthew Allison & John Kimsey & Anthony Carambia & Dhruval Patel & Daniel Carrillo & Zachary Shriber & Truman Baz, 2020. "Photovoltaics- and Battery-Based Power Network as Sustainable Source of Electric Power," Energies, MDPI, vol. 13(19), pages 1-22, September.
    15. Giacomo Talluri & Gabriele Maria Lozito & Francesco Grasso & Carlos Iturrino Garcia & Antonio Luchetta, 2021. "Optimal Battery Energy Storage System Scheduling within Renewable Energy Communities," Energies, MDPI, vol. 14(24), pages 1-23, December.
    16. Natascia Andrenacci & Mauro Di Monaco & Giuseppe Tomasso, 2022. "Influence of Battery Aging on the Operation of a Charging Infrastructure," Energies, MDPI, vol. 15(24), pages 1-18, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ayuso, Pablo & Beltran, Hector & Segarra-Tamarit, Jorge & Pérez, Emilio, 2021. "Optimized profitability of LFP and NMC Li-ion batteries in residential PV applications," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 183(C), pages 97-115.
    2. Ghorbanzadeh, Milad & Astaneh, Majid & Golzar, Farzin, 2019. "Long-term degradation based analysis for lithium-ion batteries in off-grid wind-battery renewable energy systems," Energy, Elsevier, vol. 166(C), pages 1194-1206.
    3. Yunlong Han & Conghui Li & Linfeng Zheng & Gang Lei & Li Li, 2023. "Remaining Useful Life Prediction of Lithium-Ion Batteries by Using a Denoising Transformer-Based Neural Network," Energies, MDPI, vol. 16(17), pages 1-16, August.
    4. Martin Henke & Getu Hailu, 2020. "Thermal Management of Stationary Battery Systems: A Literature Review," Energies, MDPI, vol. 13(16), pages 1-16, August.
    5. Tervo, Eric & Agbim, Kenechi & DeAngelis, Freddy & Hernandez, Jeffrey & Kim, Hye Kyung & Odukomaiya, Adewale, 2018. "An economic analysis of residential photovoltaic systems with lithium ion battery storage in the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 1057-1066.
    6. Shabani, Masoume & Wallin, Fredrik & Dahlquist, Erik & Yan, Jinyue, 2022. "Techno-economic assessment of battery storage integrated into a grid-connected and solar-powered residential building under different battery ageing models," Applied Energy, Elsevier, vol. 318(C).
    7. Bernhard Faessler, 2021. "Stationary, Second Use Battery Energy Storage Systems and Their Applications: A Research Review," Energies, MDPI, vol. 14(8), pages 1-19, April.
    8. Lucas Deotti & Wanessa Guedes & Bruno Dias & Tiago Soares, 2020. "Technical and Economic Analysis of Battery Storage for Residential Solar Photovoltaic Systems in the Brazilian Regulatory Context," Energies, MDPI, vol. 13(24), pages 1-30, December.
    9. Stefan Englberger & Holger Hesse & Daniel Kucevic & Andreas Jossen, 2019. "A Techno-Economic Analysis of Vehicle-to-Building: Battery Degradation and Efficiency Analysis in the Context of Coordinated Electric Vehicle Charging," Energies, MDPI, vol. 12(5), pages 1-17, March.
    10. Mostafa Farrokhabadi, 2019. "Data-Driven Mitigation of Energy Scheduling Inaccuracy in Renewable-Penetrated Grids: Summerside Electric Use Case," Energies, MDPI, vol. 12(12), pages 1-23, June.
    11. Bai, Bo & Xiong, Siqin & Song, Bo & Xiaoming, Ma, 2019. "Economic analysis of distributed solar photovoltaics with reused electric vehicle batteries as energy storage systems in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 213-229.
    12. Rodrigo Martins & Holger C. Hesse & Johanna Jungbauer & Thomas Vorbuchner & Petr Musilek, 2018. "Optimal Component Sizing for Peak Shaving in Battery Energy Storage System for Industrial Applications," Energies, MDPI, vol. 11(8), pages 1-22, August.
    13. Arsalis, Alexandros & Papanastasiou, Panos & Georghiou, George E., 2022. "A comparative review of lithium-ion battery and regenerative hydrogen fuel cell technologies for integration with photovoltaic applications," Renewable Energy, Elsevier, vol. 191(C), pages 943-960.
    14. Olabi, A.G. & Wilberforce, Tabbi & Sayed, Enas Taha & Abo-Khalil, Ahmed G. & Maghrabie, Hussein M. & Elsaid, Khaled & Abdelkareem, Mohammad Ali, 2022. "Battery energy storage systems and SWOT (strengths, weakness, opportunities, and threats) analysis of batteries in power transmission," Energy, Elsevier, vol. 254(PA).
    15. Shabani, Masoume & Wallin, Fredrik & Dahlquist, Erik & Yan, Jinyue, 2023. "The impact of battery operating management strategies on life cycle cost assessment in real power market for a grid-connected residential battery application," Energy, Elsevier, vol. 270(C).
    16. Kang, Hyuna & Jung, Seunghoon & Lee, Minhyun & Hong, Taehoon, 2022. "How to better share energy towards a carbon-neutral city? A review on application strategies of battery energy storage system in city," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    17. Federica Cucchiella & Idiano D’Adamo & Massimo Gastaldi, 2017. "The Economic Feasibility of Residential Energy Storage Combined with PV Panels: The Role of Subsidies in Italy," Energies, MDPI, vol. 10(9), pages 1-18, September.
    18. Dimitar Bozalakov & Mohannad J. Mnati & Joannes Laveyne & Jan Desmet & Lieven Vandevelde, 2019. "Battery Storage Integration in Voltage Unbalance and Overvoltage Mitigation Control Strategies and Its Impact on the Power Quality," Energies, MDPI, vol. 12(8), pages 1-26, April.
    19. Iolanda Saviuc & Herbert Peremans & Steven Van Passel & Kevin Milis, 2019. "Economic Performance of Using Batteries in European Residential Microgrids under the Net-Metering Scheme," Energies, MDPI, vol. 12(1), pages 1-28, January.
    20. Luna, M. & Di Piazza, M.C. & La Tona, G. & Accetta, A. & Pucci, M., 2021. "Exploiting dynamic modeling, parameter identification, and power electronics to implement a non-dissipative Li-ion battery hardware emulator," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 183(C), pages 48-65.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:3:p:568-:d:312820. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.